Data Support Specialist

Project Description:

We are currently seeking a highly skilled and motivated individual to join our Research & Analytics IT Production Management Support team (in Middle East). The ideal candidate should possess a technical background with 5-7 years of experience in production support and be ITIL certified. It is essential for the candidate to have a solid understanding of incident, problem, and change management processes. In this role, the successful candidate will play a vital part in ensuring the smooth operation of our production environment leveraging their technical and non-technical skills.

Responsibilities:

• As a proactive member of the support team maintain the stability of the production environment, effectively managing incidents, problems and changes.
• Promptly identify and resolve incidents and issues by applying exceptional problem-solving skills ensuring minimal disruption to operations.
• Continuously enhance existing processes and workflows to optimize efficiency and productivity.
• Work seamlessly within the agile environment, contributing to product and solution delivery for our esteemed business users. Actively participate in sprints and contribute to CI/CD practices.
• Effectively communicate with team members, stakeholders and end users and foster collaboration.
• Uphold knowledge management practices to facilitate knowledge capture and sharing.

Mandatory Skills Description:

• 5y+ hands-on experience in production support, with a proven track record of successfully managing complex environments.
• ITIL certification showcasing knowledge and expertise in incident, problem and change management processes.
• Familiarity with the financial markets, related data and applications, providing a contextual understanding of the industry.
• Bachelor's degree in computer science or related technical discipline, providing a solid foundation for understanding complex technical concepts.
• Excellent problem-solving skills with a proactive attitude towards incident resolution and issue identification.
• Technical background with a profound understanding of ETL/ELT processes for data transformation.
• Proficiency in utilizing PySpark for distributed data processing and analytics.
• Advanced expertise in SQL for proficient querying and manipulation of data, guaranteeing accurate and reliable results.
• Fundamental proficiency in Python debugging of data transformation issues and scripting automation.
• Comprehensive understanding of REST API, enabling seamless integration between internal and external systems.
• Proven experience managing SaaS Platforms (interactions between SaaS and IaaS)
• Expertise in relevant areas such as data management, data engineering, or financial systems.
• Hands-on experience managing big data platform like Palantir Foundry, Databricks, Azure Synapse, Azure Data Factory.
• Proficiency in managing batches in scheduling tools such as Control-M, ActiveBatch, Autosys.
• Expertise in workflow automation applications and tools such as KNIME Analytics, PowerAutomate, Altryx, Informatica)
• Experience in managing BI Platforms like MicroStrategy, PowerBI, QlikView, Tableau.
• Strong background in working with agile environments, participating in sprints and adhering to CI/CD practices.
• Effective communication skills, both written and verbal, enabling effective collaboration and conveyance of ideas and solutions.

Nice-to-Have Skills Description:

• Certification in Azure Fundamentals, Azure Administrator, Azure DevOps, showcasing proficiency in Cloud technologies.